Yossi Gandelsman

6 papers and 111 indexed citations i.

About

Yossi Gandelsman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Yossi Gandelsman has authored 6 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Yossi Gandelsman’s work include Generative Adversarial Networks and Image Synthesis (4 papers), COVID-19 diagnosis using AI (1 paper) and Multimodal Machine Learning Applications (1 paper). Yossi Gandelsman is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), COVID-19 diagnosis using AI (1 paper) and Multimodal Machine Learning Applications (1 paper). Yossi Gandelsman collaborates with scholars based in United States, Israel and Germany. Yossi Gandelsman's co-authors include Inbar Mosseri, Michal Irani, William T. Freeman, Yael Pritch, Kfir Aberman, Assaf Shocher, Tali Dekel, Oran Lang, Amir Globerson and Avinatan Hassidim and has published in prestigious journals such as ACM Transactions on Graphics, Cell Reports Medicine and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Yossi Gandelsman i

Fields of papers citing papers by Yossi Gandelsman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yossi Gandelsman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yossi Gandelsman. The network helps show where Yossi Gandelsman may publish in the future.

Countries citing papers authored by Yossi Gandelsman

Since Specialization
Citations

This map shows the geographic impact of Yossi Gandelsman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yossi Gandelsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yossi Gandelsman more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025